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Glaucoma is a serious ocular disorder for which the screening and diagnosis are carried out by the examination of the optic nerve head (ONH). The color fundus image (CFI) is the most common modality used for ocular screening. In CFI, the…

Image and Video Processing · Electrical Eng. & Systems 2019-02-05 Sharath M Shankaranarayana , Keerthi Ram , Kaushik Mitra , Mohanasankar Sivaprakasam

The analysis of fundus images is critical for the early detection and diagnosis of retinal diseases such as Diabetic Retinopathy (DR), Glaucoma, and Age-related Macular Degeneration (AMD). Traditional diagnostic workflows, however, often…

Computer Vision and Pattern Recognition · Computer Science 2025-07-31 Faisal Ahmed

Glaucoma is an eye disease that causes damage to the optic nerve, which can lead to visual loss and permanent blindness. Early glaucoma detection is therefore critical in order to avoid permanent blindness. The estimation of the cup-to-disc…

Image and Video Processing · Electrical Eng. & Systems 2023-11-27 Mehwish Mehmood , Khuram Naveed , Khursheed Aurangzeb , Haroon Ahmed Khan , Musaed Alhussein , Syed Saud Naqvi

Objective: The advent of Electronic Medical Records (EMR) with large electronic imaging databases along with advances in deep neural networks with machine learning has provided a unique opportunity to achieve milestones in automated image…

Machine Learning · Statistics 2016-12-16 Cecilia S. Lee , Doug M. Baughman , Aaron Y. Lee

Glaucoma is a chronic eye disease that leads to irreversible vision loss. The cup to disc ratio (CDR) plays an important role in the screening and diagnosis of glaucoma. Thus, the accurate and automatic segmentation of optic disc (OD) and…

Computer Vision and Pattern Recognition · Computer Science 2018-02-13 Huazhu Fu , Jun Cheng , Yanwu Xu , Damon Wing Kee Wong , Jiang Liu , Xiaochun Cao

Subject of research: is the study of methods for analyzing perimetric images for the diagnosis and control of glaucoma diseases. Objects of research: is a dataset collected on the ophthalmological perimeter with the results of various…

Image and Video Processing · Electrical Eng. & Systems 2025-03-20 A. I. Medvedeva , V. V. Bakutkin

As a non-invasive imaging modality, optical coherence tomography (OCT) can provide micrometer-resolution 3D images of retinal structures. Therefore it is commonly used in the diagnosis of retinal diseases associated with edema in and under…

Computer Vision and Pattern Recognition · Computer Science 2017-10-16 Donghuan Lu , Morgan Heisler , Sieun Lee , Gavin Ding , Marinko V. Sarunic , Mirza Faisal Beg

Retinal neovascularization (RNV) is a vision threatening development in diabetic retinopathy (DR). Vision loss associated with RNV is preventable with timely intervention, making RNV clinical screening and monitoring a priority. Optical…

Image and Video Processing · Electrical Eng. & Systems 2026-04-01 Jinyi Hao , Jie Wang , Liqin Gao , Tristan T. Hormel , Yukun Guo , An-Lun Wu , Christina J. Flaxel , Steven T. Bailey , Kotaro Tsuboi , Thomas S. Hwang , Yali Jia

Purpose: To characterize the 3D structural phenotypes of the optic nerve head (ONH) in patients with glaucoma, high myopia, and concurrent high myopia and glaucoma, and to evaluate their variations across these conditions. Participants: A…

Given that the neural and connective tissues of the optic nerve head (ONH) exhibit complex morphological changes with the development and progression of glaucoma, their simultaneous isolation from optical coherence tomography (OCT) images…

Optical coherence tomography (OCT) is a non-invasive imaging technique with extensive clinical applications in ophthalmology. OCT enables the visualization of the retinal layers, playing a vital role in the early detection and monitoring of…

Optical Coherence Tomography (OCT) is the primary imaging modality for detecting pathological biomarkers associated to retinal diseases such as Age-Related Macular Degeneration. In practice, clinical diagnosis and treatment strategies are…

Computer Vision and Pattern Recognition · Computer Science 2019-07-17 Thomas Kurmann , Pablo Márquez-Neila , Siqing Yu , Marion Munk , Sebastian Wolf , Raphael Sznitman

$\bf{Purpose}$: To describe the 3D structural changes in both connective and neural tissues of the optic nerve head (ONH) that occur concurrently at different stages of glaucoma using traditional and AI-driven approaches. $\bf{Methods}$: We…

Glaucoma is a leading cause of irreversible blindness worldwide, emphasizing the critical need for early detection and intervention. In this paper, we present DeepEyeNet, a novel and comprehensive framework for automated glaucoma detection…

Computer Vision and Pattern Recognition · Computer Science 2025-01-22 Angshuman Roy , Anuvab Sen , Soumyajit Gupta , Soham Haldar , Subhrajit Deb , Taraka Nithin Vankala , Arkapravo Das

Glaucoma is an irreversible ocular disease and is the second leading cause of visual disability worldwide. Slow vision loss and the asymptomatic nature of the disease make its diagnosis challenging. Early detection is crucial for preventing…

Computer Vision and Pattern Recognition · Computer Science 2023-12-05 Gyanendar Manohar , Ruairi O'Reilly

Optical coherence tomography (OCT) is used for non-invasive diagnosis of diabetic macular edema assessing the retinal layers. In this paper, we propose a new fully convolutional deep architecture, termed ReLayNet, for end-to-end…

Computer Vision and Pattern Recognition · Computer Science 2017-07-10 Abhijit Guha Roy , Sailesh Conjeti , Sri Phani Krishna Karri , Debdoot Sheet , Amin Katouzian , Christian Wachinger , Nassir Navab

Diagnosing glaucoma progression is critical for limiting irreversible vision loss. A common method for assessing glaucoma progression uses a longitudinal series of visual fields (VF) acquired at regular intervals. VF data are characterized…

Applications · Statistics 2018-05-31 Samuel I. Berchuck , Jean-Claude Mwanza , Joshua L. Warren

Osteosarcoma is the most common primary bone cancer, mainly affecting the youngest and oldest populations. Its detection at early stages is crucial to reduce the probability of developing bone metastasis. In this context, accurate and fast…

Optical coherence tomography (OCT) is a non-invasive imaging technique that can produce images of the eye at the microscopic level. OCT image segmentation to localise retinal layer boundaries is a fundamental procedure for diagnosing and…

Computer Vision and Pattern Recognition · Computer Science 2016-09-09 Jinming Duan , Christopher Tench , Irene Gottlob , Frank Proudlock , Li Bai

Optic disc (OD) and optic cup (OC) are regions of prominent clinical interest in a retinal fundus image. They are the primary indicators of a glaucomatous condition. With the advent and success of deep learning for healthcare research,…

Image and Video Processing · Electrical Eng. & Systems 2020-12-15 Aniketh Manjunath , Subramanya Jois , Chandra Sekhar Seelamantula
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